wehub-resource-sync
99 lines
3.5 KiB
C++
99 lines
3.5 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/as_complex_kernel.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/common/type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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COMMON_DECLARE_bool(use_stride_kernel);
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namespace phi {
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template <typename T, typename Context>
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void AsComplexStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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if (!FLAGS_use_stride_kernel) {
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PADDLE_THROW(common::errors::Fatal(
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"FLAGS_use_stride_kernel is closed. Strided kernel "
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"be called, something wrong has happened!"));
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}
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if (out && out->numel() == 0) {
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if (x.dtype() == DataType::FLOAT32) {
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out->set_type(DataType::COMPLEX64);
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} else if (x.dtype() == DataType::FLOAT64) {
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out->set_type(DataType::COMPLEX128);
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} else {
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PADDLE_THROW(common::errors::Unimplemented(
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"as_complex is not supported data type (%s).",
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DataTypeToString(x.dtype())));
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}
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out->set_offset(x.offset());
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out->ResetHolder(x.Holder());
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out->ShareInplaceVersionCounterWith(x);
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return;
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}
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PADDLE_ENFORCE_EQ(
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x.strides()[x.strides().size() - 1],
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1,
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common::errors::InvalidArgument(
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"Expected the stride of last dimension of input(X) to be 1."
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"But received %d. This means that the last dimension of the "
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"Tensor(x) is not continuous and cannot be as_complex directly."
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"You can call x.contiguous() to make the Tensor(x) contiguous first.",
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x.strides()[x.strides().size() - 1]));
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phi::DDim out_strides(x.strides().Get(), x.strides().size() - 1);
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for (int i = 0; i < out_strides.size(); ++i) {
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out_strides[i] /= 2;
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}
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out->set_strides(out_strides);
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if (x.dtype() == DataType::FLOAT32) {
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out->set_type(DataType::COMPLEX64);
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} else if (x.dtype() == DataType::FLOAT64) {
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out->set_type(DataType::COMPLEX128);
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} else {
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PADDLE_THROW(common::errors::Unimplemented(
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"as_complex is not supported data type (%s).",
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DataTypeToString(x.dtype())));
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}
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out->set_offset(x.offset());
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out->ResetHolder(x.Holder());
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out->ShareInplaceVersionCounterWith(x);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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as_complex, CPU, STRIDED, phi::AsComplexStridedKernel, float, double) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(
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as_complex, GPU, STRIDED, phi::AsComplexStridedKernel, float, double) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#endif
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#if defined(PADDLE_WITH_CUSTOM_DEVICE) && !defined(PADDLE_WITH_CUDA)
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PD_REGISTER_KERNEL(
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as_complex, Custom, STRIDED, phi::AsComplexStridedKernel, float, double) {
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kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
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}
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#endif
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